Mathew K.

Key Skills

Software

Labelbox

Top Subject Matter

General Visual Objects

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Freelancer Overview

Operations Manager / Quality Assurance Specialist (Image Annotation). Core strengths include Labelbox. Education includes Bachelor of Science, Maseno University (2018) and Kenya Certificate of Secondary Education, Hola Boys Secondary School (2013). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

Remote Quality Oversight & Task Review (Annotation Validation)

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This position focused on remote validation of labeling accuracy and consistency across distributed workflows involving image data. Reviewing contributions from multiple annotators, the role required identifying and enforcing standardization and correcting inconsistencies prior to submission. Strong emphasis was placed on remote collaboration, documentation, and maintaining high standards in output quality. • Validated the labeling quality and consistency of bounding box annotations performed by distributed team members. • Identified and flagged errors for correction before dataset delivery. • Maintained detailed documentation and shared quality reports with relevant stakeholders. • Employed remote collaboration tools to ensure seamless standard enforcement.

2019 - 2024

Data Validation & Technical Review Projects (Academic Image Annotation)

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Academic and independent projects included technical reviews of structured image datasets, focusing on annotation completeness, accuracy, and anomaly detection. Outputs were checked for adherence to expected results, and logical reasoning was applied to maintain dataset suitability for downstream use. These tasks enhanced spatial attention and consistency for annotation and cross-image matching workflows. • Reviewed image datasets for accurate and complete bounding box annotations. • Verified outputs against predefined quality standards within academic and project settings. • Detected and documented anomalies for correction and dataset improvement. • Supported downstream AI development use through error-free validations.

2018 - 2024

Operations Manager / Quality Assurance Specialist (Image Annotation)

LabelboxImageBounding Box

This role involved reviewing and correcting image data with a focus on precision and accuracy for annotation. Tasks required validation and adjustment of bounding boxes following strict guidelines and maintaining high consistency standards across audit-driven workflows. Performance needed to consistently meet an accuracy threshold of over 98% during audits while working both remotely and on-site. • Validated large volumes of image annotation outputs to ensure quality and compliance. • Identified and corrected spatial and logical inaccuracies within bounding box labels. • Ensured guideline adherence and error-free data delivery under strict audit conditions. • Utilized annotation tools and maintained documentation for iterative process improvement.

2018 - 2024

Education

Work History